The work aims to propose a design model that integrates KJ-Kano-AHP with fuzzy comprehensive evaluation to scientifically elicit the requirements of electric vehicles for the elderly and accurately categorize the types of requirements as well as prioritize them, so as to ensure that electric vehicle design solutions meet the needs of elderly users and enhance user satisfaction. Initially, multidimensional needs of elderly users were collected through unstructured interviews. Subsequently, the Kano model was employed to categorize these needs into basic, performance, excitement, and indifferent attributes, elucidating their relative importance. The Analytic Hierarchy Process (AHP) was then applied to calculate the weights of different needs to better understand the degree of emphasis placed by elderly users on each attribute. Finally, based on these weights, three distinct design schemes were developed. By fuzzy comprehensive evaluation, product design, user experience, and emotional needs were taken into consideration, the feasibility of these schemes was assessed, and the optimal solution was selected to meet the design expectations of elderly users for electric vehicles. KJ-Kano-AHP and fuzzy comprehensive evaluation model based on user needs scientifically analyzes the needs of elderly users, calculates the weight of design factors, and objectively evaluates the design scheme, which effectively improves the objectivity and rigor of the innovative design of elderly electric vehicles, and can provide reference for the design of similar vehicles.